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Quantifying Racial Prejudices with Housing Transaction Data

Author

Listed:
  • Leung, Tin Cheuk

    (Wake Forest University, Economics Department)

  • Sun, Xiaojin

    (Oklahoma State University)

  • Tsang, Kwok Ping

    (Virginia Tech)

Abstract

This paper aims to quantify racial prejudices using transaction-level housing market data. We pin down the impact of a marginal change of racial composition in a narrowly-defined neighborhood on the price appreciation between repeated sales of a house, and we find that an additional nonwhite household within a radius of 0.2 miles reduces the price appreciation by 1.27 percentage points. The effects are weaker in neighborhoods with a thicker housing market and a higher income level, suggesting that the role of racial prejudices is limited by market forces. The effects are also associated with voting behaviors and public anti-racism statements made on social media, indicating that they are likely to be driven by taste-based racial preferences. While we also find evidence of racial price discrimination effects as in the literature, these effects tend to be a form of statistical discrimination driven by other factors that correlate with race.

Suggested Citation

  • Leung, Tin Cheuk & Sun, Xiaojin & Tsang, Kwok Ping, 2024. "Quantifying Racial Prejudices with Housing Transaction Data," Working Papers 117, Wake Forest University, Economics Department.
  • Handle: RePEc:ris:wfuewp:0117
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    More about this item

    Keywords

    Housing market; repeated sales; racial prejudices; machine learning;
    All these keywords.

    JEL classification:

    • H00 - Public Economics - - General - - - General
    • J15 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Minorities, Races, Indigenous Peoples, and Immigrants; Non-labor Discrimination
    • R23 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Household Analysis - - - Regional Migration; Regional Labor Markets; Population
    • R30 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - General

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